Papers with Code 아카이브
Multi-Person Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 13
- 보존된 평가 기록
- 94
Multi-person pose estimation is the task of estimating the pose of multiple people in one frame.
<span style="color:grey; opacity: 0.6">( Image credit: Human Pose Estimation with TensorFlow )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/MIC-DKFZ/DetectionAndRegression
https://github.com/MIC-DKFZ/RegRCNN
https://github.com/MSeeker1340/Vision2018-Pose
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/MVIG-SJTU/RMPE
Multi-Person Pose Estimation with Local Joint-to-Person Associations
https://github.com/Makunda/DeepLearningASL
https://github.com/ManifoldFR/recvis-project
https://github.com/Mary-xl/HRnet_Kaggle_iNat2019_FGVC
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/MattyChoi/PoseMachines
https://github.com/MayankGupta73/Workout-Evaluation-tf-openpose
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/MegEngine/Models/tree/master/official/vision/keypoints
https://github.com/Mind23-2/MindCode-77
https://github.com/Mind23-2/MindCode-88/tree/main/simple_pose
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
https://github.com/MindSpore-paper-code-2/code3/tree/main/tinydarknet
https://github.com/MindSpore-paper-code-3/code1/tree/main/AlphaPose
https://github.com/MindSpore-paper-code-3/code1/tree/main/ArtTrack
https://github.com/MindSpore-paper-code-3/code3/tree/main/faster_rcnn_dcn
https://github.com/MindSpore-paper-code-3/code6/tree/main/AlphaPose
AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time
https://github.com/MindSpore-paper-code-3/code6/tree/main/ArtTrack
https://github.com/MindSpore-paper-code-3/code9/tree/main/MaskRCNN
https://github.com/MindSpore-paper-code-3/code9/tree/main/OpenPose
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/ModelBunker/Lightweight-OpenPose-PyTorch
Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose
https://github.com/Mr-TalhaIlyas/Openpose-docker
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/Mrnoorsingh/car-parking
https://github.com/NU-LL/lighttrack-
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/NVlabs/PAMTRI
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/NVlabs/industreallib
https://github.com/NieXC/pytorch-ppn
Generative Partition Networks for Multi-Person Pose Estimation
https://github.com/Nikhil619/Motion-direction-control-of-a-pi-robot-using-hand-movementss
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/NiravRaiyani/Mask-R-CNN-for-water-detection
https://github.com/Okery/PyTorch-Simple-MaskRCNN
https://github.com/Oussamayousre/Yoga_pose_recognizer
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/PJunhyuk/exercise-pose-analyzer
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model
https://github.com/PJunhyuk/people-counting-pose
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model
https://github.com/PaddlePaddle/PaddleDetection
https://github.com/Pxtri2156/AdelaiDet_v2
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.